128 results about "Observation method" patented technology

The invention relates to the technical field of electric power facility safety monitoring, in particular to a substation equipment foundation settlement observation system and method, and the system comprises an infrared monitoring array and a data processing terminal; the method comprises the following steps: acquiring and correcting real-time three-dimensional point cloud data of the basic surface of the equipment; obtaining an effective settling volume; environment parameters or equipment vibration signals are monitored in real time, the collection frequency of the infrared monitoring array is automatically adjusted according to the monitoring result, and an early warning signal is sent out when the effective settling volume exceeds a preset threshold value; through software and hardware cooperation, the problems that in the prior art, a monitoring blind area is large, the anti-interference capacity is weak, and a linkage mechanism is lacked are solved, an intelligent settlement observation solution is provided for a substation equipment foundation, and safe and stable operation of a power grid is effectively guaranteed.

The invention discloses a secondary path online modeling and real-time ANC system observation method without additional white noise, and the method comprises the following steps: monitoring the stability of an ANC system through a real-time observer, and preventing divergence caused by the change of a secondary path or an overlarge step length; a secondary path online modeling method is designed, secondary path online precise modeling without adding white noise is realized by combining an offline modeling initial value and online self-adaptive updating, and residual noise rise and human ear discomfort caused by introduction of the white noise in a traditional online modeling method are avoided; secondary path coupling is eliminated by using a loudspeaker time-sharing sounding strategy, and the modeling calculation amount is reduced; and an intelligent ANC system is constructed, a secondary path model is dynamically updated, the step length is adaptively adjusted, and stable operation of the system is ensured. According to the invention, the stability and the noise reduction performance of the ANC system are improved, and the calculation complexity and the human ear interference risk are reduced at the same time.

The invention discloses a spatial distributed observation method based on irregular region geometric feature sampling, and belongs to the technical field of aerospace. The implementation method comprises the following steps: establishing a coordinate system for describing the motion of the spacecraft; establishing a spacecraft dynamic model under the coordinate system; six initial orbit elements of a satellite can be obtained based on existing low-orbit constellation orbit data, the spatial position is calculated through the orbit elements, and then position components are converted into latitude and longitude coordinates, namely sub-satellite point coordinates; defining vertex coordinates of the polygon, and constructing a planar polygon by connecting the vertex coordinates end to end; discretizing the internal region of the closed polygon; on the basis of the kinetic model, on the basis of the coordinates of the sub-satellite point and the center coordinates of the discrete sampling circle, calculating the characteristic distance from the sampling point in the observation area to the sub-satellite point, and on the basis of the size relationship between the characteristic distance and the radius of the observation view field, judging whether the irregular area can be successfully observed in a preset time constraint interval; therefore, spatial distributed observation is realized.

The invention discloses a buoy type wave observation method and device based on a GNSS and an accelerometer, and relates to the technical field of marine environment monitoring, and the method comprises the steps: collecting positioning data and inertial motion data, constructing a reference acceleration through the positioning data, carrying out the dynamic real-time zero offset compensation of the acceleration, correcting the attitude of a buoy according to the angular velocity information, and carrying out the real-time zero offset compensation of the acceleration. Wave motion parameters are calculated by using a multi-order spectral moment, a horizontal velocity component is extracted, the main wave direction of waves is estimated through a maximum entropy spectrum method, and the main wave direction and the wave motion parameters are jointly packaged and transmitted through a dual-mode communication link. Through multi-source synchronous acquisition, GNSS dynamic zero offset compensation, attitude correction, wave direction calculation and parameter inversion, the problem of low accuracy and reliability of observation data caused by long-term drifting of the wave observation buoy is cooperatively solved, and meanwhile, the maintenance difficulty and cost of the wave buoy are reduced. A core algorithm is realized through an edge processing architecture, so that the cost of a single buoy is greatly reduced, and possibility is provided for large-scale high-density networking.

The embodiment of the invention provides a motor speed observation method and device, electronic equipment and a storage medium, and the method comprises the steps: firstly, obtaining an electrical angle of a motor; then, gain processing is carried out based on the electrical angle, the observer proportional gain parameter and the observer integral gain parameter, and a proportional integral output value is obtained; next, feed-forward processing is carried out based on the electrical angle and a feed-forward gain parameter, a feed-forward output value is obtained, and the feed-forward gain parameter, an observer proportional gain parameter and an observer integral gain parameter are all generated based on the speed ring bandwidth of the speed ring; and finally, performing superposition processing based on the proportional integral output value and the feedforward output value to obtain a speed observation result of the motor, thereby greatly improving the observation real-time performance and accuracy of motor speed observation.

The invention discloses an observation method and system for a navigation city greenhouse gas source and application, belongs to the field of environment monitoring, and is used for solving the technical problem that at present, effective and targeted monitoring on the city greenhouse gas source is lacked, and the method comprises the steps that an observation route for monitoring the greenhouse gas source in a navigation city is planned; constructing a navigation city greenhouse gas source distribution prediction model and training, carrying out current navigation monitoring to obtain current navigation monitoring data, and calculating by using the navigation city greenhouse gas source distribution prediction model to obtain next city greenhouse gas source prediction distribution; performing targeted underway monitoring planning and monitoring; according to the method, the observation route is planned, multiple times of underway monitoring are carried out according to the time sequence, accurate underway monitoring data are obtained, the data are fully mined, the prediction model is constructed and trained, the model is used for calculation, the next prediction distribution is obtained, the model is used for guiding subsequent targeted underway monitoring, and the monitoring efficiency and effect of the urban greenhouse gas source are improved.

The application discloses an improved flux linkage observer position sensor observation method and system, comprising the following steps: constructing a motor model, and estimating a flux linkage vector; performing amplitude normalization processing on the flux linkage vector, and constructing a quadrature error signal; inputting a phase-locked loop, and obtaining a motor angle and a motor estimated rotating speed. The application has high adaptability, is small in system dependence degree, and is convenient to transplant in different systems.

The invention relates to the field of remote sensing satellite observation task planning, in particular to a remote sensing satellite hotspot target observation method and system based on meteorological elements, which are used for carrying out priority division and analysis on tasks according to the conditions of importance degree, emergency degree, observation time window and the like of hotspot targets, determining hotspot target observation tasks, and carrying out real-time observation on the hotspot targets. And obtaining a corresponding geographic information data set. On the basis, simulation calculation of the satellite transit area is carried out in sequence, and a spatio-temporal data set of the hotspot observation target in the satellite transit process is generated. And in combination with CMA-GFS data, carrying out space-time screening on observable targets, determining hotspot targets with clear sky observation conditions, and forming a selected space-time data set. And finally, the whole process operation from satellite observation task planning, platform attitude maneuver and instrument pointing calculation to observation guidance generation and instruction uploading execution, and observation state tracking and effect evaluation is completed, invalid observation caused by cloudy and foggy weather is reduced, and the satellite observation efficiency is improved.

The application discloses a kind of robot joint adaptive super-spiral observation methods based on barrier function, belong to robot joint drive and motor non-inductive control technical field.This method faces the robot joint module using permanent magnet synchronous motor, constructs super-spiral observer, and designs the segmented adaptive gain law based on barrier function, on-line adjustment is carried out to observer parameter, so that position, speed estimation error can quickly converge to preset area in finite time, and disturbance upper limit does not need to be known in advance;Wherein, in the stage of greater error, observation gain is improved to speed up convergence speed, and gain is adaptively reduced after error enters boundary region to suppress chattering, so that rapidity and smoothness are considered.This method can reduce the dependence of robot joint module on position sensor, improve the compactness and reliability of module structure, reduce observation chattering, and improve the position and speed estimation accuracy under the condition of sudden load and parameter perturbation.

The invention discloses a sea-ground-air-space integrated marine intelligent collaborative three-dimensional networking observation method, which belongs to the technical field of marine environment observation, is used for intelligent collaborative three-dimensional networking observation, and comprises the following steps of: generating an optimal navigation track covering a target area of dynamic characteristics by using a multi-target optimization algorithm; each observation platform executes a measurement task according to the received collaborative observation instruction, and each observation platform carries an embedded processor to analyze the collected temperature, salinity and flow field data characteristics in real time; and the data processing center completes data assimilation and ocean mode simulation by using supercomputing parallel calculation, and generates and outputs high-resolution three-dimensional temperature, salinity and flow field analysis results of dynamic characteristics. The coverage rate and the quality of observation information are obviously improved; the observation precision and efficiency are obviously improved, and optimal configuration and high-precision observation of resources are realized; a finer three-dimensional structure is captured with less navigation mileage, data redundancy and energy consumption are reduced, and observation efficiency is improved.

The present invention is to observe in detail a structure caused by heating or cooling a structure outside a temperature limit of a high-performance camera using an image of the high-performance camera and a change in the structure caused by recovery to normal temperature. An observation device of a structure, characterized by comprising: a camera housing having a rectangular three-dimensional shape, the camera housing having a glass window of heat-resistant and / or cold-resistant glass on at least one face of the three-dimensional shape; a thermally insulating wall covering the camera housing except for the glass window; a fluid supply port and a fluid discharge port circulating a fluid for cooling or heating in at least the camera housing among the camera housing and the inside of the wall; and a camera disposed in the camera housing, the camera capturing a structure outside the camera housing as a still image or a moving image from the glass window, and externally outputting or internally storing data of the captured image.

Embodiments of the present disclosure provide a method and system for satellite-ground radar cooperative observation based on sensitive targets, which are applied to the technical field of weather radar. The method comprises the following steps: acquiring satellite, radar and underlying surface data; identifying and processing the radar data to obtain the number, position, area of potential targets and the early warning level corresponding to each potential target, and comprehensively obtaining the satellite-ground joint early warning level; using the underlying surface data, potential targets and the satellite-ground joint early warning level to construct a sensitive target evaluation function and calculate the sensitivity score; and arranging and combining the sensitive targets and radar scanning modes, and performing optimization processing to select the optimal scanning mode. In this way, real-time tracking and dynamic monitoring of strong convective weather can be achieved, guiding multiple weather radars to efficiently carry out cooperative operation and improving the observation timeliness and early warning reliability of high-disaster strong convective weather.

The invention discloses a geological event classification-driven observation method and a geological event classification-driven observation system, which solve the technical problem of lack of dynamic regulation and control based on event classification in the prior art. The method comprises the following steps: collecting continuous seismic waveform data, and detecting and identifying a potential event segment by combining a multi-stage STA / LTA method with CUSUM accumulation and change point analysis; inputting the potential event segment into a pre-trained one-dimensional convolutional neural network model, performing signal identification and classification, and outputting an event category and confidence; fusing temperature and pressure time sequence data, and comprehensively judging an event type by utilizing a rule engine; according to the geological event type driving observation strategy, the sensor sampling frequency, the data transmission mode and the energy consumption configuration are dynamically adjusted. Through an innovative mechanism of geological event classification-driven observation, the limitation of a traditional observation mode on real-time performance and resource efficiency is broken through, differentiated observation response can be realized according to geological event types, the real-time performance, the accuracy and the energy efficiency of an observation system are remarkably improved, and the method is suitable for popularization and application. The method is especially suitable for long-term observation of complex seabed hydrothermal zones such as southwest Indian Ocean ridges.

The present disclosure relates to an observation unit, a traveling wave tube unit, and an observation method. An observation unit includes a housing having a vacuum inside, a base housed in the housing and fixed to the housing, and an observation device housed in the housing and supported by the base, wherein the base includes a first magnet, and the observation device includes a second magnet mounted so as to repel the first magnet and supported in a state of being separated from the base.

The application relates to the field of vehicle dynamics and control technology, in particular to a data intelligent driving adaptive joint observation method and device, a vehicle and a medium, wherein the method comprises the following steps: compensating wheel speed according to yaw rate and rotation angle; calculating a longitudinal reference vehicle speed measurement value according to the compensated wheel speed and longitudinal acceleration; respectively estimating noise covariance of a lateral reference vehicle speed measurement value and a lateral-longitudinal reference vehicle speed measurement value according to a first input feature, a second input feature and a third input feature; determining a joint observation weight of the lateral-longitudinal reference vehicle speed measurement value based on the noise covariance, and performing joint observation on a lateral-longitudinal reference vehicle speed estimation value based on the joint observation weight, so as to obtain a vehicle body side slip angle estimation value. Therefore, the problems that the MBD method and the DDD method in the related art have limitations, the applicability and robustness are poor, the measurement value is inaccurate, the accuracy of the observation result is low, a large amount of data is required, and the application is limited due to the black box feature are solved.

The invention relates to the technical field of screw machining, in particular to a connector screw machining machine tool which comprises a thread machining machine tool body, an equipment box is arranged on the thread machining machine tool body, a tool rest is fixedly connected to the outer wall of the bottom of the equipment box, and a mounting hole is formed in the middle of the outer wall of the bottom of the tool rest. And the interior of the mounting hole is in threaded connection with a cutter body. The ultra-miniature industrial camera is used for carrying out close-range observation on machining between the cutter body and a screw, the problems that an operator has poor real-time performance and limited precision and influences machining consistency and the product yield in a long-distance observation method are avoided, correspondingly, the ultra-miniature industrial camera can always keep a consistent motion state with the cutter body, and the machining precision is improved. According to the screw machining tool, close-range observation and real-time and accurate monitoring are conducted on the machining process between the tool body and a screw, once problems are found, machining parameters can be rapidly adjusted, a large number of unqualified products are prevented from occurring, and therefore the machining quality of the screw is remarkably improved.

The invention provides a discrete observation method and system based on time-point sequence data, and belongs to the technical field of data processing, and the method specifically comprises the steps: when a discrete analysis demand type does not belong to a target demand type, obtaining a discrete analysis result based on the time-point sequence data in a stable period and the observation analysis processing result of the time-point sequence data of other monitoring equipment; determining a discrete coefficient in each stable time period, determining a related data type of time point sequence data in other monitoring equipment based on the stability degree of the discrete coefficient, and determining a deviation condition of the discrete coefficient of the monitoring time point of the related data type in different stable time periods; and carrying out observation analysis processing on time point sequence data of related data types on the basis of deviation conditions, and determining a discrete observation analysis method of time point sequence data of the target data type on the basis of observation analysis processing results of the time point sequence data of the related data types and in combination with discrete analysis demand types. And the reliability of the monitoring data is improved.

In a sample observation device 1, an image capturing unit 5 includes an area image sensor 21 that performs image capturing by the rolling shutter method in which a start of an exposure period T of pixel columns 25 in the pixel region 22 is shifted by predetermined time, and a control unit 6 controls the image capturing unit 5 so that an exposure order in each of the pixel columns 25 is reversed between a period in which a scanning unit 3 scans a sample S in a first direction and a period in which the scanning unit 3 scans the sample S in a second direction.

The application belongs to the technical field of microstructure characterization of paste materials, and particularly relates to an in-situ characterization device and a viewing method for the ultra-early microstructure of fresh paste. The device comprises a mixing module, a sample injection module, a sublimation module, a film plating module and a viewing module. After the cementing material and mixing water are fully mixed to obtain fresh paste, the original microstructure is reserved by rapid vitrification freezing, free water is removed by sublimation, the sample is cut and observed after being plated with a conductive metal film. The device and the method effectively reserve the ultra-early microstructure of fresh paste, do not introduce artificial traces, the phase display boundary is clear, and good observation effect is achieved.

In order to solve the technical problems that the existing droplet observation device cannot monitor the multi-nozzle printing process and the overall observation precision is low, the present application provides a multi-nozzle single droplet real-time observation device, an observation method and a 3D printing system.The observation device of the present application can make the observation camera capture the current working printing nozzle and automatically focus on it in real time through the cooperation of the first steering engine and the displacement platform, and complete the real-time monitoring of the printing state of the printing nozzle; through the high-frequency multiple flashing of the LED flash, the observation camera can capture the images of the same droplet at multiple times in one shot, at the same time, the high-frequency deflection of the piezoelectric deflection mirror and the telecentric lens are matched with each other, the overlapping images of the single droplet at adjacent moments are separated, so that a single photo can have enough droplet images to show the forming process, the overall observation precision is improved, the quality monitoring and fault diagnosis problems during additive manufacturing are improved, and the waste rate of electronic 3D printing is reduced.

The invention discloses a Beidou GNSS-based dam slope monitoring comprehensive observation method, system and device and a medium, and belongs to the technical field of dam slope monitoring, and the method comprises the steps: deploying a plurality of Beidou GNSS reference stations at a stable bedrock at the periphery of a hydropower station dam area, and receiving satellite signals; collecting displacement data in real time, and synchronously collecting environmental factor data; performing time synchronization on the acquired displacement data and environmental factor data, performing hard synchronization through a PPS pulse signal, and uniformly converting the data after hard synchronization to a dam local coordinate system; de-noising the synchronized displacement data and environmental factor data by using a Kalman filtering technology, and carrying out data fusion; historical displacement data and real-time data are combined, and a machine learning algorithm is used for predicting the future displacement change trend of the dam slope. According to the invention, through combination of multi-base-station networking and Beidou / GNSS positioning technology, the three-dimensional monitoring precision of the dam slope is improved.

Provided are an observation device and an observation method with which it is possible to selectively observe, from among two or more types of particles contained in a suspension, a target particle to be observed. This observation device is provided with: a holding unit that holds a suspension containing two or more types of particles having different size relationships with respect to the specific gravity of the liquid, said suspension being separated into a target layer containing the target particles to be observed from among the two or more types of particles contained in the suspension, and a non-target layer containing the target particles to be observed from among the two or more types of particles contained in the suspension; the non-target layer contains particles other than target particles among the two or more types of particles; an observation light source that causes observation light to enter from the object layer side; an objective lens which is provided on the object layer side and amplifies an image of the object particles; and an imaging unit that captures an image of the target particle magnified by the objective lens. The depth of field of the optical system including the objective lens is smaller than the thickness of the object layer.

The invention discloses a host service observation method and electronic equipment, and belongs to the technical field of service operation and maintenance. Loading an eBPF probe in the kernel space of the host; generating a unique call chain identifier for each application call request, and generating a unique span identifier for each function call or cross-process call in a call chain; associating index data of an operating system layer, a process layer, a database layer, an application component layer and an application calling layer, which are collected by utilizing a probe, with the generated calling chain identifier and span identifier by combining event context capture, process relation mapping and a service triggering link tracing technology; based on the associated multi-level index data, aggregating the index data associated with all the span identifiers according to the call chain identifier; and constructing a hierarchical structure of the call chain, and forming a complete resource call chain which is triggered from the initial application request and sequentially passes through the application component, the database, the process and the operating system. The method can realize observation of full services of the host.

The application provides a GNSS-based water vapor networking observation method and system, and relates to the technical field of meteorological observation, comprising obtaining first information and second information; obtaining a first feature vector corresponding to each GNSS receiver; obtaining a second feature vector; determining the correlation degree value of the first feature vector of each GNSS receiver and the second feature vector of the atmospheric water vapor information of a target region; and obtaining atmospheric water vapor information in a future preset time period. Through effective feature extraction and fusion of satellite data and atmospheric water vapor information collected by GNSS receivers in the water vapor networking, the observation of atmospheric water vapor is more accurate and real-time. Through principal component analysis to extract atmospheric influencing factors and combining a feature fusion model, the observation ability of water vapor information under complex atmospheric conditions is enhanced, and the regional atmospheric water vapor change can be observed in real time. Compared with the traditional meteorological observation station, the observation method has significant advantages in spatial distribution and time accuracy.

A weather fusion observation method, platform, medium and equipment based on radar technology, relate to the field of weather information digital intelligent technology. The method comprises: receiving a plurality of types of weather data sent by each local radar device; converting each weather data into standard weather data according to a preset standard format block; filtering impurity data in each standard weather data to obtain target weather data; in response to a fusion instruction, fusing at least two target weather data according to the fusion instruction to obtain fusion weather data for weather analysis through the fusion weather data. Through the data fusion of multiple weather equipment, the accuracy of analyzing weather data can be improved by implementing the technical solution provided in the application.

The invention relates to the technical field of remote sensing, and particularly provides an unmanned aerial vehicle-mounted P-band microwave and multispectral combined observation method and device for complex topographic conditions, and the method comprises the steps: selecting a region with a high priority level as a basic navigation route of an unmanned aerial vehicle, separating a sub-route from the basic navigation route, and surveying a region with a low priority level; the area with the high priority level is a basic line, and the area with the low priority level is a sub-line; the multispectral camera collects reflection characteristics of multiple spectral bands of the vegetation, and the P-band microwave sensor penetrates through the vegetation to obtain topographic information below the vegetation; and constructing a digital terrain model of the surveyed area based on the fused data, analyzing the relationship between vegetation distribution and terrain conditions, performing model simulation to obtain terrain conditions, obtaining an evaluation report model according to the terrain conditions to obtain the terrain conditions, and obtaining an evaluation report according to the terrain conditions. The device comprises a priority setting module, a decision fusion module and a report output module. According to the invention, the topographic survey efficiency under the complex topographic condition is improved.

A binocular vision-based time-frequency domain observation method for ocean waves includes: installing a dual-camera system at two preset locations, ensuring it is aligned with the same sea surface area for synchronous wave observation; using feature point matching technology to jointly calibrate extrinsic parameters based on camera intrinsic parameters; filtering and correcting the images to remove noise and perform motion compensation as needed; extracting three-dimensional point cloud data using a stereo matching algorithm to construct the three-dimensional morphology of the waves; and performing time-frequency domain analysis on the sea surface data to extract wave parameters and perform time-domain decomposition to comprehensively observe the dynamic characteristics of the waves. This method overcomes the limitations of traditional observation methods, such as the long deployment time and lack of flexibility of wave buoys, and the high cost and inability to accurately acquire sea surface waveforms of X-band wave radar. It provides technical support for marine engineering and sea condition early warning, and has significant economic benefits and application prospects.

Continuously monitor the detection performance of the observation device. [Solution] The observation device includes an observation unit, a storage unit, and a control unit. The observation unit observes a predetermined area. The storage unit stores the viewing distance, which indicates the maximum distance at which an observation target within the predetermined area can be identified, and a threshold value. Based on the results of the first observation by the observation unit, the control unit obtains the maximum observation distance, which indicates the distance to the location of the furthest identified first observation target, and sets the viewing distance and threshold value based on the comparison result between the maximum observation distance and the threshold value. When predetermined conditions are met, the control unit decreases the threshold value.

The application discloses a kind of carbon dioxide advection observation methods based on multi-path concentration difference, including in the observation region within the layout arbitrary angle rotation ground CO2 differential absorption lidar and three-dimensional wind radar;Rotary laser radar, in turn, the observation angle position of radar corresponds the x-axis in three-dimensional wind speed coordinate system, the middle of x-axis and z-axis, the middle of y-axis and z-axis, y-axis, to obtain the CO2 concentration profile average value and wind speed profile average value on corresponding observation angle;Based on CO2 concentration profile average value and wind speed profile average value, through corresponding calculation, the total amount of CO2 three-dimensional advection flux in observation region is obtained.The advantage is: first realize the CO2 advection observation on regional scale, solve the problems such as poor space representation, equipment synchronization difficulty, high cost and the like of traditional method.